Senior Software Engineer

About This Role

This Senior Software Engineer role focuses on designing and implementing real-time data processing solutions for a SaaS platform. The position involves building cutting-edge web applications and optimizing Kafka-based event-driven architectures to improve speed, accuracy, and revenue assurance for digital royalties.

Responsibilities

• Design and build scalable microservices
• Build cutting-edge web applications
• Map business needs to technical solutions in the UI
• Serve as technical leader and mentor to uplift the skill sets of everyone on the team
• Educate and coach client teams in Front End architecture and best practices
• Deliver technical recommendations, presentations and workshops to clients
• Design, develop, and maintain real-time streaming applications using Apache Flink (Java API)
• Build and optimize Kafka-based event-driven architectures for high-throughput, low-latency data pipelines
• Develop microservices and REST APIs using Spring Boot for integration with SaaS components
• Ensure scalability, reliability, and fault tolerance in distributed systems

Requirements

• Expertise in Apache Flink, Apache Kafka, and Spring Boot
• Hands-on experience building and deploying streaming applications in production environments
• Strong proficiency in Java (including functional programming concepts)
• Hands-on experience with Apache Flink (DataStream API, state management, checkpointing)
• Deep understanding of Apache Kafka (topics, partitions, consumer groups, schema registry)
• Experience building Spring Boot microservices and integrating with streaming pipelines
• Proven track record of deploying SaaS solutions in production environments
• Familiarity with CI/CD pipelines, Docker, and Kubernetes
• Knowledge of data serialization formats (Avro, Protobuf, JSON)
• Strong grasp of distributed systems, event-driven architecture, and stream processing concepts

Qualifications

• Hands-on experience building and deploying streaming applications in production environments.

Nice to Have

• Experience with cloud-native architectures (AWS/GCP/Azure)
• Hands on Deployed Environment experience with Flink
• Experience with SQL, Kafka Streams, or other stream processing frameworks
• Exposure to monitoring tools (Prometheus, Grafana) and security best practices
• Background in SaaS product development and multi-tenant architectures

Skills

* Required skills

Benefits